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introduction

It is a library that support advance tools in feature engineering and data progress. This library is independently developed by Zhang Jiexi. Author’s e-mail: zhangjiexi66696@outlook.com

install

you can use pip install DataProTool to install this library. in version 1.2.0 , I rewrite the setup file so you don’t have to install dependent libraries manually.

what’s new in the version1.2.0

1.Support English! Now, I create an English version for this tool.and I set this tool’s main language is English. You can simplely use import dataprotool. If you want to use Chinese version, you can use import dataprotool.cn to import.

2.I add three feature derivation function in the FreatureDerivation class, they are: 1.target encode derivation: target_encode_derivation() 2.four arithmetic feature derivation: four_arithmetic_feature_derivation() 3.cross combination feature derivation: cross_combination_feature_derivation()

3.When you use the function of FeatureFilter class ,it will return the score or sort of data. 4.Fix some bugs in some function.

dependent libraries

numpy ~= 1.23.3 pandas ~= 1.5.0 scikit-learn ~= 1.0.2 tqdm ~= 4.64.1

tqdm is used to create progress bar.

Release files for DataProTool 1.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for DataProTool 1.2.0
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DataProTool-1.2.0.tar.gz 12.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for DataProTool 1.2.0
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DataProTool-1.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 29.1 kB

Release files / DataProTool-1.2.0.tar.gz

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Release files / DataProTool-1.2.0-py3-none-any.whl

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1.2.0 This release

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1.1.1

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